rcorr Computes a matrix of Pearson's
r or Spearman's
rho rank correlation coefficients for all possible pairs of
columns of a matrix. Missing values are deleted in pairs rather than
deleting all rows of
x having any missing variables. Ranks are
computed using efficient algorithms (see reference 2), using midranks
1 2 3 4
a numeric matrix with at least 5 rows and at least 2 columns (if
a numeric vector or matrix which will be concatenated to
specifies the type of correlations to compute. Spearman correlations are the Pearson linear correlations computed on the ranks of non-missing elements, using midranks for ties.
argument for method compatiblity.
Uses midranks in case of ties, as described by Hollander and Wolfe.
P-values are approximated by using the
rcorr returns a list with elements
matrix of correlations,
matrix of number of observations used in analyzing each pair of variables,
P, the asymptotic P-values.
Pairs with fewer than 2 non-missing values have the r values set to NA.
The diagonals of
n are the number of non-NAs for the single variable
corresponding to that row and column.
Department of Biostatistics
Hollander M. and Wolfe D.A. (1973). Nonparametric Statistical Methods. New York: Wiley.
Press WH, Flannery BP, Teukolsky SA, Vetterling, WT (1988): Numerical Recipes in C. Cambridge: Cambridge University Press.
1 2 3 4 5
Loading required package: lattice Loading required package: survival Loading required package: Formula Loading required package: ggplot2 Attaching package: 'Hmisc' The following objects are masked from 'package:base': format.pval, round.POSIXt, trunc.POSIXt, units x y z v x 1 0.00 1.00 1 y 0 1.00 -0.75 0 z 1 -0.75 1.00 1 v 1 0.00 1.00 1 n x y z v x 5 5 4 5 y 5 5 4 5 z 4 4 4 4 v 5 5 4 5 P x y z v x 1.0000 0.0000 0.0000 y 1.0000 0.2546 1.0000 z 0.0000 0.2546 0.0000 v 0.0000 1.0000 0.0000
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.